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Niloofar Minbashi
Niloofar Minbashi
Postdoctoral Researcher
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Statistical analysis of departure deviations from shunting yards: Case study from Swedish railways
N Minbashi, CW Palmqvist, M Bohlin, B Kordnejad
Journal of Rail Transport Planning & Management 18, 100248, 2021
142021
Use of power spectral density for effective turnout geometry maintenance
N Minbashi, M Bagheri, A Golroo, I Arasteh Khouy
Transportation Research Record 2545 (1), 79-88, 2016
122016
Turnout degradation modelling using new inspection technologies: A literature review
N Minbashi, M Bagheri, A Golroo, I Arasteh Khouy, A Ahmadi
Current Trends in Reliability, Availability, Maintainability and Safety: An …, 2016
102016
Machine learning-assisted macro simulation for yard arrival prediction
N Minbashi, H Sipilä, CW Palmqvist, M Bohlin, B Kordnejad
Journal of Rail Transport Planning & Management 25, 100368, 2023
82023
The application of tree-based algorithms on classifying shunting yard departure status
N Minbashi, M Bohlin, CW Palmqvist, B Kordnejad
Journal of Advanced Transportation 2021, 1-10, 2021
82021
Geometrical degradation analysis of railway turnouts using power spectral density
N Minbashi, M Bagheri, A Golroo, I ArastehKhouy
Journal of Transportation Engineering, Part A: Systems 143 (8), 04017035, 2017
82017
A departure delay estimation model for freight trains
N Minbashi, M Bohlin, B Kordnejad
the 8th Transport Research Arena 2020:, Helsinki, Finland, 2020
72020
Applying Data Analytics to Freight Train Delays in Shunting Yards
N Minbashi
KTH Royal Institute of Technology, 2020
42020
Application of Predictive Analytics for Shunting Yard Delays
N Minbashi
KTH Royal Institute of Technology, 2023
2023
Application of Simulation-assisted Machine Learning for Yard Departure Prediction
N Minbashi, J Zhao, CT Dick, M Bohlin
10th International Conference on Railway Operations Modelling and Analysis, 2023
2023
fr8hub WP3 Deliverable 3.3 Results of traffic simulation of defined scenarios and evaluation (Shift2Rail)
S Schöne, M Wahlborg, F Lundström, P Peterson, C Schmidt, ...
2021
Journal of Rail Transport Planning & Management
N Minbashi, CW Palmqvist, M Bohlin, B Kordnejad
Journal of Rail Transport Planning & Management 18, 100248, 2021
2021
Analysis of Railyard Congestion and Departure Delay Relationship: a Case Study from Swedish Railways
N Minbashi, M Bohlin, B Kordnejad
hEART 2020: 9th Symposium of the European Association for Research in …, 2021
2021
fr8hub WP3 Deliverable 3.2 Demonstration of FR8HUB Network Management Concept (Shift2Rail)
P Peterson, M Wahlborg, F Lundström, C Schmidt, L Jalili, DB Kordnejad, ...
2019
A delay prediction model for freight trains in swedish yards
N Minbashi, M Bohlin, N Kordnejad
Swedish transportation research conference, Linköping, Sweden, October 2019, 2019
2019
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